Agent Building skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

agui-dotnet-human-in-the-loop

Pause an AG-UI agent run for a human, then resume it, with the AG-UI .NET SDK — gate a sensitive tool behind explicit approval, or interrupt a run to collect free-form input from the user before continuing. USE FOR: requiring human approval before a tool executes (ApprovalRequiredAIFunction + ToolApprovalRequestContent/ToolApprovalResponseContent, resume by appending the request + CreateResponse(approved)); pausing a run to ask the user a question and resuming with their answer (InterruptRequestContent / InterruptResponseContent, RunAgentInput.Resume); how a paused run surfaces as RUN_FINISHED outcome=interrupt and how the client detects and answers it. DO NOT USE FOR: tools that run without approval on the server (use agui-dotnet-server-tools) or in the client (use agui-dotnet-client-tools); plain chat (use agui-dotnet-streaming-chat); shared state, generative UI, multimodal, or protobuf.

14.76k repo starsObserved in 2 repos
Agent Building
GitHub

agui-dotnet-multimodal

Send images and other binary/file content to an AG-UI agent with the AG-UI .NET SDK — attach pictures (or audio, PDFs, etc.) to a user message so a multimodal model can see them. USE FOR: building a user ChatMessage with mixed content parts (TextContent plus DataContent for inline bytes, or UriContent for a hosted URL); choosing inline bytes vs a URL reference; setting the correct media type; sending the message through AGUIChatClient so the content parts cross the AG-UI wire to a vision/multimodal model. DO NOT USE FOR: plain text chat (use agui-dotnet-streaming-chat); tool calls (use agui-dotnet-server-tools / agui-dotnet-client-tools); structured shared state (use agui-dotnet-shared-state); reasoning traces, interrupts, generative UI, or protobuf.

14.76k repo starsObserved in 2 repos
Agent Building
GitHub

agui-dotnet-reasoning

Surface a reasoning/thinking model's intermediate thoughts separately from its final answer with the AG-UI .NET SDK — so a client can show the agent "thinking" before it responds, and handle that reasoning trace correctly across turns. USE FOR: distinguishing the model's reasoning trace from its answer on the client by matching TextReasoningContent vs TextContent in each ChatResponseUpdate's Contents; rendering thinking and answer in different ways as they stream; deciding whether to carry the reasoning text into later turns (whether to append/resend the model's reasoning back into conversation history). DO NOT USE FOR: plain text streaming with no reasoning display (use agui-dotnet-streaming-chat); tools, shared state, interrupts, multimodal, generative UI, or protobuf.

14.76k repo starsObserved in 2 repos
Agent Building
GitHub

agui-dotnet-server-tools

Expose server-side (backend) tools an AG-UI agent can call with the AG-UI .NET SDK — C# functions that run on the server, where the server executes the call and feeds the result back to the model. USE FOR: defining an AIFunction with AIFunctionFactory.Create and registering it on the server's IChatClient via ConfigureOptions + UseFunctionInvocation; making the model call your backend function during a run; AOT-safe tool arguments/results (registering a JsonSerializerContext for complex tool parameter types); parallel/concurrent backend tool calls (AllowConcurrentInvocation); TerminateOnUnknownCalls behavior. DO NOT USE FOR: tools that run in the client/frontend (use agui-dotnet-client-tools); pausing a tool for human approval or input (interrupts / human-in-the-loop); plain streaming chat with no tools (use agui-dotnet-streaming-chat); shared state, generative UI, multimodal, or protobuf.

14.76k repo starsObserved in 2 repos
Agent Building
GitHub

agui-dotnet-shared-state

Share structured, evolving state between an AG-UI agent and its client with the AG-UI .NET SDK — the client seeds state on the request, the server reads it, mutates it, and streams the updated state back as snapshots or deltas alongside the chat. USE FOR: sending initial/working state from the client via ChatOptions.RawRepresentationFactory -> RunAgentInput.State; reading inbound state on the server with ChatOptions.TryGetRunAgentInput and RunAgentInput.State; emitting a full state object as a StateSnapshotEvent (or incremental JSON-Patch changes as a StateDeltaEvent) from a DelegatingChatClient via ChatResponseUpdate.RawRepresentation; reading state back on the client from update.RawRepresentation as StateSnapshotEvent. DO NOT USE FOR: passing one-off tool arguments (use agui-dotnet-server-tools); rendering UI components from tool calls (use agui-dotnet-generative-ui); plain chat (use agui-dotnet-streaming-chat); approvals/interrupts, multimodal, or protobuf.

14.76k repo starsObserved in 2 repos
Agent Building
GitHub

agui-dotnet-client-tools

Expose client-side (frontend) tools to an AG-UI agent with the AG-UI .NET SDK — C# functions that run in the CLIENT app (read local state, GPS, UI, device APIs), where the client executes the call and returns the result so the run continues. USE FOR: declaring an AIFunction in the client and passing it via ChatOptions.Tools to AGUIChatClient; having the client execute a tool the model requested and feed the result back automatically; understanding why no UseFunctionInvocation is needed on the client (AGUIChatClient already invokes functions); what the server must do (UseFunctionInvocation + TerminateOnUnknownCalls) so it forwards an unknown/client tool instead of erroring. DO NOT USE FOR: tools that run on the server/backend (use agui-dotnet-server-tools); pausing for human approval/input before acting (interrupts / human-in-the-loop); plain chat (use agui-dotnet-streaming-chat); shared state, generative UI, multimodal, or protobuf.

14.76k repo starsObserved in 1 repos
Agent Building
GitHub

agui-dotnet-streaming-chat

Get started with the AG-UI .NET SDK: bootstrap and run your first streaming-chat app (client + server) with the AG-UI .NET NuGet packages (AGUI.Client, AGUI.Server, AGUI.Formatting, AGUI.Abstractions). USE FOR: which packages to install and how to wire them; constructing an AGUIChatClient against an endpoint and streaming the reply as Microsoft.Extensions.AI IChatClient / ChatResponseUpdate; hosting an AG-UI POST endpoint yourself over any IChatClient; running a single- or multi-turn conversation; STATELESS agents (client owns history, resends it every turn) vs HOSTED / conversation-holding agents (server keeps the session, client pins a thread id). DO NOT USE FOR: changing the AG-UI .NET SDK itself (use the agui-dotnet-* contributor skills); server tools (agui-dotnet-server-tools); client tools (agui-dotnet-client-tools); interrupts / human-in-the-loop; shared state; generative UI; multimodal; or protobuf transport.

14.76k repo starsObserved in 1 repos
Agent Building
GitHub

eval-llm

Evaluate a change to the LLM extraction pipeline against a clean baseline. Use when the user wants to test, validate, or assess a prompt/chunking/post-processing/provider change before committing. Produces a merge / regression / defer verdict.

14.12k repo starsObserved in 1 repos
Agent Building
GitHub

subtitleedit-ai-contributor-guidelines

Use when: using AI coding agents or LLM assistance for Subtitle Edit code changes, reviews, refactors, tests, or documentation updates. Provides project-specific safeguards against broad, overcomplicated, or unverified changes.

13.49k repo starsObserved in 1 repos
Agent Building
GitHub

meta-apply

Privileged applier that LANDS meta-optimize / corpus-audit patches the user approved — the ONLY skill permitted to mutate the skill corpus from a self-modification proposal, with cross-model jury and human approval at landing. Use when the user says "meta apply", "/meta-apply", "land the staged patches", "应用优化", after a /meta-optimize run.

13.45k repo starsObserved in 1 repos
Agent Building
GitHub